text: import argparse
  
  import models
  import torch
  
  
  class Options:
      def __init__(self):
          self.initialized = False
  
      def initialize(self, parser):
          parser.add_argument("--input_A", required=True, help="path to first bvh file")
          parser.add_argument("--input_B", required=True, help="path to second bvh file")
          parser.add_argument(
              "--model_path", required=True, help="path to second bvh file"
          )
          parser.add_argument(
              "--edit_type",
              type=str,
              default="retargeting",
              help="name of the motion editing operation, retargeting or style_transfer",
          )
          parser.add_argument(
              "--gpu_ids",
              type=str,
              default="0",
              help="gpu ids: e.g. 0  0,1,2, 0,2. use -1 for CPU",
          )
  
          return parser
  
      def gather_options(self):
  
          if not self.initialized:  # check if it has been initialized
              parser = argparse.ArgumentParser(
                  formatter_class=argparse.ArgumentDefaultsHelpFormatter
              )
              parser = self.initialize(parser)
  
          # get the basic options
          opt, _ = parser.parse_known_args()
  
          # modify model-related parser options
          model_name = opt.model
          model_option_setter = models.get_option_setter(model_name)
          parser = model_option_setter(parser, self.isTrain)
          opt, _ = parser.parse_known_args()  # parse again with new defaults
  
          # modify dataset-related parser options
          dataset_name = opt.dataset_mode
          dataset_option_setter = data.get_option_setter(dataset_name)
          parser = dataset_option_setter(parser, self.isTrain)
  
          # save and return the parser
          self.parser = parser
          return parser.parse_args()
  
      def print_options(self, opt):
          message = ""
          message += "----------------- Options ---------------\n"
          for k, v in sorted(vars(opt).items()):
              comment = ""
              default = self.parser.get_default(k)
              if v != default:
                  comment = "\t[default: %s]" % str(default)
              message += "{:>25}: {:<30}{}\n".format(str(k), str(v), comment)
          message += "----------------- End -------------------"
          print(message)
  
      def parse(self):
          opt = self.gather_options()
          opt.isTrain = self.isTrain  # train or test
  
          # process opt.suffix
          if opt.suffix:
              suffix = ("_" + opt.suffix.format(**vars(opt))) if opt.suffix != "" else ""
              opt.name = opt.name + suffix
  
          self.print_options(opt)
  
          # set gpu ids
          str_ids = opt.gpu_ids.split(",")
          opt.gpu_ids = []
          for str_id in str_ids:
              id = int(str_id)
              if id >= 0:
                  opt.gpu_ids.append(id)
          if len(opt.gpu_ids) > 0:
              torch.cuda.set_device(opt.gpu_ids[0])
  
          self.opt = opt
          return self.opt
  